Gemini 3.5 Flash vs Hunyuan A13B Instruct
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 3.5 Flash and Hunyuan A13B Instruct.
Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
Hunyuan A13B Instruct
Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...
Technical Specifications
| Specification | Gemini 3.5 Flash | Hunyuan A13B Instruct |
|---|---|---|
| Provider | Tencent | |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 200 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-19 | 2025-07-08 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.5 Flash
$1.50
Hunyuan A13B Instruct
$0.14
Output Price per Million Tokens
Gemini 3.5 Flash
$9.00
Hunyuan A13B Instruct
$0.57
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemini 3.5 Flash Quirks & Gotchas
- ▸Excellent multimodal performance — native video understanding
- ▸Tool calling via Google's native function_declarations in Vertex AI
Hunyuan A13B Instruct Quirks & Gotchas
No developer gotchas reported.